John Noll

1.7k citations
75 papers · 1.3k · h-index 20

Impact in

Papers in

John Noll

73 papers receiving 1.2k citations

Peers

John Noll
Comparison fields: 5 of 81
  • Computer Science Applications 410
  • Information Systems 839
  • Communication 198
  • Management Information Systems 184
  • Software 58
Replace Fabian Fagerholm with:
Fabian Fagerholm Finland
Denae Ford United States
John T. Nosek United States
RadhaKanta Mahapatra United States
Norsaremah Salleh Malaysia
Viktoria Stray Norway
Fabio Calefato Italy
Tobias Ley Estonia
Nathan Baddoo United Kingdom
Marco Ortu Italy
John Noll relative to Fabian Fagerholm Finland Fabian Fagerholm's profile →
Citations per field
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Fabian Fagerholm · 1×
Citations per year

Countries citing papers authored by John Noll

Since Specialization
Citations

This map shows the geographic impact of John Noll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Noll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Noll more than expected).

Fields of papers citing papers by John Noll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Noll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Noll. The network helps show where John Noll may publish in the future.

Co-authors

The 25 scholars most cited alongside John Noll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Noll Line = papers co-authored together John Noll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010214
2 2002108
3 197854
4 201549
5 201738
6 200137
7 201737
8 199133
9 199132
10 199731
11 201430
12 201029
13 201328
14 200625
15 201025
16 201722
17 201420
18 201019
19 201119
20 201819

About John Noll

John Noll is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Management Information Systems and Communication, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (43 papers), Software Engineering Research (30 papers), Open Source Software Innovations (26 papers), Advanced Software Engineering Methodologies (11 papers), Business Process Modeling and Analysis (9 papers), Semantic Web and Ontologies (8 papers), Knowledge Management and Sharing (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Computer Science Applications (410 citations), Information Systems (839 citations), Communication (198 citations), Management Information Systems (184 citations) and Software (58 citations). John Noll has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Sarah Beecham, Ita Richardson, Walt Scacchi, Tony Clear, Julian M. Bass, Darren C. Atkinson, John Barr, Pádraig O’Leary, Michael J. Oudshoorn and Mats Daniels. Their work appears in journals such as IEEE Software, American Journal of Psychiatry, Computer, Science of Computer Programming and Journal of Network and Computer Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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